Modelling of Engineering and Manufacturing Data Structures Through a DSM-Based Approach

Yana Brovar, Yaroslav Menshenin, Dominik Knoll, Clement Fortin

Результат исследований: Глава в книге, отчете, сборнике статейМатериалы для конференциирецензирование

Аннотация

In order to achieve effective Digital Engineering solutions, it is necessary to solve the problem of integrating Product Lifecycle Management (PLM) and Model-Based Systems Engineering (MBSE) domains. Indeed, design processes are supported by a variety of ontologies representing each of the domains. Since none of the ontologies is sufficient on its own to describe the complete lifecycle, we propose an ontological engineering approach to model Engineering and Manufacturing data structures. In this paper, we address the fundamental issue of semantic integration of ontologies that can support Digital Engineering solutions. To achieve this goal, we define various types of interfaces between systems ontologies such as the Object-Process Methodology (OPM), the Core Product Model (CPM), and the Manufacturing Process Management (MPM). Revealing the connections between these ontologies has the potential to provide eventually more efficient management of all information throughout the entire product lifecycle. To accomplish this, we propose to use the fundamental OPM structural and procedural links that can be used to explicitly represent all causal interfaces within MBSE and PLM domains using the Design Structure Matrix (DSM)-based approach.

Язык оригиналаАнглийский
Название основной публикацииProduct Lifecycle Management. Green and Blue Technologies to Support Smart and Sustainable Organizations
РедакторыOsiris Canciglieri Junior, Frédéric Noël, Louis Rivest, Abdelaziz Bouras
ИздательSpringer Science and Business Media Deutschland GmbH
Страницы96-109
Число страниц14
ISBN (печатное издание)9783030943981
DOI
СостояниеОпубликовано - 2022
Событие7th International Conference on Machine Learning, Optimization, and Data Science, LOD 2021 - Virtual, Online
Продолжительность: 4 окт. 20218 окт. 2021

Серия публикаций

НазваниеIFIP Advances in Information and Communication Technology
Том640 IFIP
ISSN (печатное издание)1868-4238
ISSN (электронное издание)1868-422X

Конференция

Конференция7th International Conference on Machine Learning, Optimization, and Data Science, LOD 2021
ГородVirtual, Online
Период4/10/218/10/21

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